Data Director ( Engineering)

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Are you a seasoned Data Engineering leader ready to drive innovation with cutting-edge cloud and data solutions? Copperpod AI is looking for a Data Director to lead modern data warehouse and pipeline initiatives using Azure and open-source big data tools.

Responsibilities:

• Lead the design and development of modern data warehouse solutions using the Azure stack.
• Architect scalable, secure, and reliable data pipelines using Azure Data Factory, DataBricks, and Synapse.
• Collaborate with business and BI teams to translate reporting needs into data models.
• Guide and mentor data engineering teams; conduct code reviews and troubleshoot complex issues.
• Drive architecture discussions with client stakeholders and ensure best practices in cloud data engineering.
• Manage orchestration via Airflow and contribute to automation in DevOps environments.

MUST Haves:

• 12–18 years of total IT experience with 6+ years in data engineering and warehousing.
• Deep knowledge of ETL, Data Pipelines, Dimensional Modelling (Star & Snowflake).
• Proven experience with Python, PySpark, SQL, Azure Data Factory, Synapse, Databricks, and Airflow.
• Exposure to streaming tools like Kafka, Kinesis, and NoSQL databases (MongoDB, Cassandra, Neo4j).
• Familiarity with Terraform, Git, and CI/CD tools like CircleCI.
• Experience working in Agile and DevOps environments.

Brownie Points if you have the following:

• DataBricks Certification.
• Experience with Delta Lake, structured & unstructured data (imaging, geospatial).
• Strong communication and problem-solving skills.
• Enthusiasm to lead from the front and shape the future of data architecture.

Ready to take the next step?

Join a forward-thinking team at Copperpod AI that thrives on solving complex challenges with innovative data solutions. Be the architect of transformation.

Send your resumes to : hiring@copperpoddigital.com

About us:

Copperpod AI is a global AI partner to enterprises, headquartered in New Jersey, USA. We specialize in solving complex business problems through tailored, outcome-focused AI solutions built to scale across decision intelligence, operations, and customer experience.

Our work is anchored on three core pillars:

1. Innovation through rapid prototyping and experimentation in our AI Lab;

2. Execution via agile pods of top-tier talent, trained in enterprise delivery; and;

3. Impact, through measurable outcomes aligned to strategic business goals.

Through our AI Foundry, we co-develop with clients to move from idea to real-world deployment delivering business outcomes across fashion, retail, manufacturing, financial services, healthcare and others. At Copperpod AI, we don’t just deploy technology we shape transformation that lasts.